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Kursguide - Course Syllabus • Fastställande Kursplanen är fastställd av Styrelsen för institutionen för service management och tjänstevetenskap 2016-11-16 att gälla från och med 2017-01-01, vårterminen 2017. Allmänna uppgifter Kursen ingår i Kandidatprogrammet i service management och är den tredje inriktningsspecifika kursen inom Hotel and Resturant Management och ges sjätte terminen. Undervisnin
https://www.ses.lu.se/sites/ses.lu.se/files/kp_ksmc62_161116.pdf - 2026-05-23
Microsoft Word - Vol9_No1.doc Lund Psychological Reports Volym 9, No. 1, 2008 Effects of Positive and Negative Feedback on Performance Quantity and Quality in People with High or Low Global Self-Esteem Maria Danielsson Department of Psychology Lund Psychological Reports Editors: Magnus Lindgren & Sven Birger Hansson ISSN 1404-8035 2 Effects of Positive and Negative Feedback on Performance Quantity
https://www.psy.lu.se/sites/psy.lu.se/files/vol9_no1.pdf - 2026-05-23
Genetic mapping of complement system proteins for islet autoimmunity in children with high risk of T1D communications biology Article A Nature Portfolio journal https://doi.org/10.1038/s42003-025-08739-9 Genetic mapping of complement system proteins for islet autoimmunity in children with high risk of T1D Check for updates Xiaowei Hu 1 , Bobbie-Jo M. Webb-Robertson 2,3, Hemang M. Parikh4, Ernesto
”Människorna som arbetar och studerar är universitetets viktigaste tillgång. En god arbetsmiljö är grunden för att man ska utvecklas, trivas, vara säker och må bra på sitt arbete eller i sina studier.” Så står det i förordet till arbetsmiljöpolicyn för Lunds universitet. Detta gäller självklart också vid naturvetenskapliga fakulteten. På denna webbsida hittar du information, stöd och tips som fram
https://www.naturvetenskap.lu.se/internt/stod-och-verktyg/arbeta-med-arbetsmiljofragor - 2026-05-23
Under sitt långa yrkesliv fick Hugo Fröderberg (1897–1986) följa utvecklingen av vad som då kallades ”sinnesslövården”. För eftervärlden kom han att bli känd som sjukhuschef och överläkare på Vipeholms sjukhus – Europas största i sitt slag med plats för nästan 1000 ”svårskötta, obildbara sinnesslöa”. Hugo Fröderberg föddes i Bäckaby i Fröderydsbygden mellan Vetlanda, Växjö och Värnamo, växte upp b
https://www.historiskamuseet.lu.se/vipeholm/vem-var-hugo-froderberg-och-vad-var-vipeholms-sjukhus - 2026-05-23
Hur mycket information bör noterade bolag offentliggöra? Det är en fråga som har diskuterats tidigare, men som har blivit aktuell på nytt med noteringsaktens (förordning (EU) 2024/2809) ikraftträdande i december 2024. Den här uppsatsen riktar in sig på noteringsaktens regeländringar avseende kraven på offentliggörande av insiderinformation, med särskilt fokus på utvidgade undantag för offentliggörHow much information should be disclosed by listed companies? This is a question that has been discussed previously, but which has become relevant again with the entry into force of the Listing Act (Regulation (EU) 2024/2809) in December 2024. This thesis focuses on the regulatory changes introduced by the Listing Act regarding the requirements for disclosure of inside information, with particular
I denna avhandling undersöks opinionsundersökningens introduktion i Sverige under mitten av 1900-talet. Fokus ligger på Svenska Gallupinstitutet AB, som 1941 etablerades som landets första opinionsinstitut och som introducerade den urvalsbaserade enkätundersökningen som ett nytt medium genom vilket den allmänna opinionen kunde representeras. De hade i princip monopol på området till 1950-talets miThis thesis examines the introduction and impact of opinion polling in Sweden during the mid-twentieth century, focusing on the activities of the Swedish Gallup Institute (Svenska Gallupinstitutet). Established in 1941 as the country’s first polling organization, the institute introduced sample surveys as a new means of representing public opinion and had a near-monopoly on polling until its decli
We argue that the subject matter and objectives of risk science establish it as an inherently interdisciplinary field, closely connected to both academic disciplines and practical applications. However, risk research faces a range of interdisciplinary challenges. These include the production of low-quality research—characterised by superficial and insufficiently grounded conclusions—a lack of mutu
Soil microorganisms regulate carbon (C) cycling, and their growth and respiration are strongly dependent on temperature. Yet it remains unclear how warming alters microbial thermal traits, community structure, and the balance between microbial respiration and growth, particularly in subtropical ecosystems where high temperatures coincide with low soil moisture, potentially constraining microbial a
Antibiotic resistance poses a global threat. Antibiotics are administered to 80-90% of terminally ill patients but evidence of their effectiveness in improving survival or symptom relief at the end of life (EOL) is scarce. To determine the proportion of deceased patients that continue antibiotic treatment after documented EOL discussion and the decision to prioritise symptom relief over active tre
Machine learning techniques often lack formal correctness guarantees, evidenced by the widespread adversarial examples that plague most deep-learning applications. This lack of formal guarantees resulted in several research efforts that aim at verifying Deep Neural Networks (DNNs), with a particular focus on safety-critical applications. However, formal verification techniques still face major sca
BACKGROUND: Recent studies have reported that reduced-dose trimethoprim-sulfamethoxazole (TMP-SMX) may be effective in the treatment of Pneumocystis jirovecii pneumonia (PJP), but data are lacking for patients with hematologic malignancies.METHODS: This retrospective study included all adult hematologic patients with PJP between 2013 and 2017 at 6 Swedish university hospitals. Treatment with 7.5-1
In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the neural network. DMEL is used as the input layer in different neural networks and evaluated on standard audio datasets. We show that DMEL achieves a higher average test accuracy for sub-optimal initial choices of th
The human brain performs tasks with an outstanding energy efficiency, i.e., with approximately 20 Watts. The state-of-the-art Artificial/Deep Neural Networks (ANN/DNN), on the other hand, have recently been shown to consume massive amounts of energy. The training of these ANNs/DNNs is done almost exclusively based on the back-propagation algorithm, which is known to be biologically implausible. Th
We present a versatile NeRF-based simulator for testing autonomous driving (AD) software systems, designed with a focus on sensor-realistic closed-loop evaluation and the creation of safety-critical scenarios. The simulator learns from sequences of real-world driving sensor data and enables reconfigurations and renderings of new, unseen scenarios. In this work, we use our simulator to test the res
Interpretability has become a crucial component in the Machine Learning (ML) domain. This is particularly important in the context of medical and health applications, where the underlying reasons behind how an ML model makes a certain decision are as important as the decision itself for the experts. However, interpreting an ML model based on limited local data may potentially lead to inaccurate co
